DBTB INT Alexis Roos r

Alexis Ruth walking for reduce intelligence engineering manager I think what's unique about that I beta B is the number of participants coming from a variety of fields right a lot of practitioners from a lot of companies and really covering a very wide range spectrum of technologies in machine learning and NP data engineering and industries so they will run the event well I mean it's a lil bit cliche balloting delays the new God right and you know using there are these days and with the platform that are available to essentially manipulator that I becomes very easy to start making connection and survey completed questions it'll do correlations or prediction on the data so it becomes really easy to start generating a lot of insight and all of actions you know basil basil data you so to me what I want to show is always it is to start looking at the data you know through a graph lens right stop basically using graph to model yadira the war really looks like a graph and likewise new technology like spark and graphics make it really easy to start modeling to date as a graph and start asking and answering really completed collector questions so to me was very important for the last entities to look at the applied in oside of data science right at the end of the day's more you know using you know the less aliens then really know creating new that ascends algorithm and for that I think the engineering aspects and become important and starting to be well rounded and knowing or to use you know essentially distributed platform like maybe like spark to start answering question your do exploration and really look at the applied side of data science